首页> 外文会议>Proceedings of 2011 international conference on communication technology and application >ENERGY SAVING SPECTRUM SELECTION IN COGNITIVE RADIO NETWORKS USING STOCHASTIC CONTROL THEORY
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ENERGY SAVING SPECTRUM SELECTION IN COGNITIVE RADIO NETWORKS USING STOCHASTIC CONTROL THEORY

机译:随机控制理论在认知无线电网络中的节能频谱选择

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Spectrum selection is crucial in improving the performance of cognitive radio networks. Most of previous work on spectrum selection consider spectrum utilization ratio as system design criteria and ignore the energy issue. In this paper, we take a cross-layer design approach to select the optimal spectrum considering the time varying and stochastic nature of wireless channels. The proposed scheme selects one spectrum among different alternatives and sets the modulation and coding scheme and frame size in each time slot according to the channel state, which is modeled as finite-state Markov channel, with the objective of minimizing energy consumption. The procedure of spectrum access is formulated as a restless bandit problem, which can be solved using linear programming (LP) and primal-dual index heuristic algorithm. Simulation results are presented to show the performance improvement of the proposed scheme.
机译:频谱选择对于提高认知无线电网络的性能至关重要。以前有关频谱选择的大多数工作都将频谱利用率作为系统设计标准,而忽略了能源问题。在本文中,我们考虑无线信道的时变和随机特性,采用跨层设计方法来选择最佳频谱。所提出的方案在不同的选择中选择一个频谱,并根据信道状态设置调制和编码方案以及每个时隙中的帧大小,其被建模为有限状态马尔可夫信道,目的是使能量消耗最小。频谱访问的过程被表述为不安定的强盗问题,可以使用线性规划(LP)和原始对偶索引启发式算法来解决。仿真结果表明了该方案的性能改进。

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